Modeling sequential data using higher-order relational features and predictive training Vincent Michalski Goethe-University Frankfurt, Frankfurt, Germany

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Date: 2014-02-11 21:17:06 Applied mathematics Artificial neural networks Machine learning Statistics Probability and statistics Computational neuroscience Regression analysis Computational statistics Deep learning Autoregressive model Recurrent neural network Overfitting		Modeling sequential data using higher-order relational features and predictive training Vincent Michalski Goethe-University Frankfurt, Frankfurt, Germany Add to Reading List Source URL: arxiv.org Download Document from Source Website File Size: 882,34 KB Share Document on Facebook

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